SPSS Statistics Standard

Fundamental analytical capabilities for a range of business and research questions

The IBM SPSS Statistics Standard Edition offers the core statistical procedures business managers and analysts need to address fundamental business and research questions. This software provides tools that allow users to quickly view data, formulate hypotheses for additional testing, and carry out procedures to clarify relationships between variables, create clusters, identify trends and make predictions.

The IBM SPSS Statistics Standard edition includes the following key capabilities:

Linear models offer a variety of regression and advanced statistical procedures designed to fit the inherent characteristics of data describing complex relationships.

Nonlinear models provide the ability to apply more sophisticated models to data.

Statistics Standard includes generalized linear mixed models (GLMM) for use with hierarchical data.

This software has general linear models (GLM) and mixed models procedures.

It includes generalized linear models (GENLIN), including widely used statistical models such as linear regression for normally distributed responses, logistic models for binary data, and loglinear models for count data. GENLIN also offers many useful statistical models through its very general model formulation.

Probit analysis evaluates the value of stimuli using a logit or probit transformation of the proportion responding

Simulation capabilities

Monte Carlo simulation techniques enable you to create simulated datasets based on existing data and/or known parameters when the existing data is inadequate.

Non-numeric variables such as “male” and “female” can be simulated without recoding them as numeric variables.

Existing predictive models and data can be used as the starting points for your simulation, including models exported from Automatic Linear Modeling (ALM) and IBM SPSS Modeler.

Associations between categorical inputs are automatically determined and used when generating data for the inputs.

Results are calculated over and over, using a different set of random values to produce distributions of possible outcome values and enabling users to select the best one.

SPSS Statistics can be used to analyze simulation results and create charts and graphs that convey outcomes and recommended actions to decision-makers.

Geospatial analytics

The Spatio-Temporal Prediction (STP) technique can fit linear models for measurements taken over time at locations in 2D and 3D space, enabling users to predict how those areas may change over time.

Associations between spatial and non-spatial attributes can be found with the Generalized Spatial Association Rule (GSAR), which uses historical data such as location, type of event and the time an event happened to describe the occurrences of events, such as crimes or disease outbreaks.

Customized tables

Means or proportions are compared for demographic groups, customer segments, time periods or other categorical variables when including inferential statistics.

The software creates summary statistics - from simple counts for categorical variables to measures of dispersion – and sorts categories by any summary statistic used.

It includes three significance tests: Chi-square test of independence, comparison of column means (t test), or comparison of column proportions (z test).

IBM SPSS Statistics Standard includes enhancements that enable mobile users to view results on their smart devices. This release also provides more simulation modeling techniques, as well as enhancements to improve overall performance. The latest version of SPSS Statistics Standard brings you:

Easily consumable analytical output

Export SPSS Statistics output as .mht (Cognos Active Report) files, which can be opened using the IBM Cognos Mobile app (available on iPad only).

Generate presentation-ready output quickly and easily.

More powerful simulation modeling

Fit a categorical distribution to a string field in the active dataset, enabling non-numeric variables such as “male” and “female” to be used in simulations without recoding.

Export a model from Automatic Linear Modeling (ALM) and use it as the starting point for a simulation.

Generate heat maps automatically when displaying scatterplots in which the target, the input or both are categorical.

Automatically determine associations between categorical inputs and use them when generating data for the inputs. A multiway contingency table can be computed for all inputs that are fit to a categorical distribution and used when generating data for the inputs.

Generate data in the absence of a predictive model by specifying which variables to simulate and either fitting them to the active dataset or manually specifying their distributions.

Specialized techniques to improve overall performance

A new startup screen makes it easier to find features.

Asynchronous reading of data gets data to the procedures faster.

Import/export data from/to database more easily.

ODBC pooling provides more reliable database connections.

Perform custom programming more easily with simplified installation of extensions within SPSS Statistics.

Logging support is improved for Enterprise Standard in the Platform Standards.

Get IBM® SPSS® Statistics for Linux on System z to access, manage and analyze high volumes of data. This version combines the advanced analytical power of SPSS Statistics with the security, availability and stability of the System z platform, enabling your organization to make accurate decisions faster and deploy them throughout the enterprise.